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literature.bib
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% Encoding: UTF-8
@Article{Todd.2020,
author = {Petra Todd and Weilong Zhang},
title = {A Dynamic Model of Personality, Schooling, and Occupational Choice},
journal = {Quantitative Economics},
year = {2020},
}
@Article{Pathak.2020,
author = {Parag A. Pathak and Peng Shi},
title = {How well do structural demand models work? Counterfactual predictions in school choice},
journal = {Journal of Econometrics},
year = {2020},
}
@Unpublished{Gabler.2019,
author = {Janoś Gabler},
title = {A {P}ython Tool for the Estimation of (Structural) Econometric Models.},
<<<<<<< HEAD
=======
year = {2019},
>>>>>>> 462338de45ddd47636cf1b9a1eaf3dfbb58ce7c0
url = {https://github.com/OpenSourceEconomics/estimagic},
year = {2019},
}
@Article{Oncan.2007,
author = {\"{O}ncan, Temel},
title = {A Survey on the Generalized Assignment Problem and Its Application},
journal = {INFOR: Information Systems and Operational Research},
year = {2007},
volume = {45},
number = {3},
pages = {123--141},
}
@Article{Aakvik.2005,
author = {Aakvik, Arild and Heckman, James J. and Vytlacil, Edward J.},
title = {Treatment Effects for Discrete Outcomes When Responses to Treatment Vary Among Observationally Identical Persons: An Application to Norwegian Vocational Rehabilitation Programs},
journal = {Journal of Econometrics},
year = {2005},
volume = {125},
number = {1-2},
pages = {15--51},
}
@Article{Aakvik.1999,
author = {Aakvik, A and Heckman, James J. and Vytlacil, Edward J.},
title = {Training Effects on Employment when the Training Effects are Heterogenous: an Application to Norwegian Vocational Rehabilitation Programs},
journal = {Unpublished Manuscript},
year = {1999},
number = {0599},
}
@Article{Aaronson.2008,
author = {Aaronson, Daniel and Mazumder, Bhashkar},
title = {Intergenerational Economic Mobility in the United States, 1940 to 2000},
journal = {The Journal of Human Resources},
year = {2008},
volume = {43},
number = {1},
pages = {139--172},
issn = {0022-166X, 1548-8004},
abstract = {We estimate trends in intergenerational economic mobility by matching men in the Census to synthetic parents in the prior generation. We find that mobility increased from 1950 to 1980 but has declined sharply since 1980. While our estimator places greater weight on location effects than the standard intergenerational coefficient, the size of the bias appears to be small. Our preferred results suggest that earnings are regressing to the mean more slowly now than at any time since World War II, causing economic differences between families to become more persistent. However, current rates of positional mobility appear historically normal.},
isbn = {0022166X},
}
@Article{Abadie.2002,
author = {Abadie, Alberto and Angrist, Joshua and Imbens, Guido},
title = {Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings},
journal = {Econometrica},
year = {2002},
volume = {70},
number = {1},
pages = {91--117},
issn = {0012-9682},
abstract = {This paper reports estimates of the effects of JTPA training programs on the distribution of earnings. The estimation uses a new instrumental variable (IV) method that measures program impacts on quantiles. The quantile treatment effects (QTE) estimator reduces to quantile regression when selection for treatment is exogenously determined. QTE can be computed as the solution to a convex linear programming problem, although this requires first-step estimation of a nuisance function. We develop distribution theory for the case where the first step is estimated nonparametrically. For women, the empirical results show that the JTPA program had the largest proportional impact at low quantiles. Perhaps surprisingly, however, JTPA training raised the quantiles of earnings for men only in the upper half of the trainee earnings distribution.},
isbn = {1468-0262},
keywords = {dummy endogenous variables,quantile regression,treatment effects},
pmid = {599260},
}
@Article{Abadie.2011b,
author = {Abadie, Alberto and Imbens, Guido W.},
title = {Matching on the estimated propensity score},
journal = {Econometrica},
year = {2016},
volume = {84},
number = {2},
pages = {781--807},
issn = {0012-9682},
abstract = {Propensity score matching estimators (Rosenbaum and Rubin, 1983) are widely used in evaluation research to estimate average treatment effects. In this article, we derive the large sample distribution of propensity score matching estimators. Our derivations take into account that the propensity score is itself estimated in a first step, prior to matching. We prove that first step estimation of the propensity score affects the large sample distribution of propensity score matching estimators. Moreover, we derive an adjustment to the large sample variance of propensity score matching estimators that corrects for first step estimation of the propensity score. In spite of the great popularity of propensity score matching estimators, these results were previously unavailable in the literature.},
isbn = {9788578110796},
pmid = {25246403},
}
@Article{Abadie.2011,
author = {Abadie, Alberto and Imbens, Guido W.},
title = {A Martingale Representation for Matching Estimators},
journal = {Journal of the American Statistical Association},
year = {2012},
volume = {107},
number = {498},
pages = {833--843},
issn = {0162-1459},
abstract = {Matching estimators are widely used in statistical data analysis. However, the large sample distribution of matching estimators has been derived only for particular cases. This article establishes a martingale representation for matching estimators. This representation allows the use of martingale limit theorems to derive the large sample distribution of matching estimators. As an illustration of the applicability of the theory, we derive the asymptotic distribution of a matching estimator when matching is carried out without replacement, a result previously unavailable in the literature. In addition, we apply the techniques proposed in this article to derive a correction to the standard error of a sample mean when missing data are imputed using the ?hot deck,? a matching imputation method widely used in the Current Population Survey (CPS) and other large surveys in the social sciences. We demonstrate the empirical relevance of our methods using two Monte Carlo designs based on actual datasets. In these Monte Carlo exercises, the large sample distribution of matching estimators derived in this article provides an accurate approximation to the small sample behavior of these estimators. In addition, our simulations show that standard errors that do not take into account hot-deck imputation of missing data may be severely downward biased, while standard errors that incorporate the correction for hot-deck imputation perform extremely well. This article has online supplementary materials. Matching estimators are widely used in statistical data analysis. However, the large sample distribution of matching estimators has been derived only for particular cases. This article establishes a martingale representation for matching estimators. This representation allows the use of martingale limit theorems to derive the large sample distribution of matching estimators. As an illustration of the applicability of the theory, we derive the asymptotic distribution of a matching estimator when matching is carried out without replacement, a result previously unavailable in the literature. In addition, we apply the techniques proposed in this article to derive a correction to the standard error of a sample mean when missing data are imputed using the ?hot deck,? a matching imputation method widely used in the Current Population Survey (CPS) and other large surveys in the social sciences. We demonstrate the empirical relevance of our methods using two Monte Carlo designs based on actual datasets. In these Monte Carlo exercises, the large sample distribution of matching estimators derived in this article provides an accurate approximation to the small sample behavior of these estimators. In addition, our simulations show that standard errors that do not take into account hot-deck imputation of missing data may be severely downward biased, while standard errors that incorporate the correction for hot-deck imputation perform extremely well. This article has online supplementary materials.},
keywords = {hot-deck imputation,martingales,overt bias,treatment effects},
}
@InCollection{Abbas.2010,
Title = {Constructing multiattribute utility functions for decision analysis},
Author = {Abbas, Ali E.},
Booktitle = {Risk and Optimization in an Uncertain World},
Publisher = {{INFORMS}},
Year = {2010},
Address = {Catonsville, MD},
Chapter = {3},
Pages = {62--98},
Series = {{INFORMS} Tutorials in Operations Research}
}
@Article{Abbas.2009,
author = {Abbas, Ali E.},
title = {Multiattribute utility copulas},
journal = {Operations Research},
year = {2009},
volume = {57},
number = {6},
pages = {1367--1383},
}
@Article{Abbott.2018,
author = {Abbott, Brant and Gallipoli, Giovanni and Meghir, Costas and Violante, Giovanni L.},
title = {Education Policy and Intergenerational Transfers in Equilibrium},
journal = {Journal of Political Economy},
year = {2018},
pages = {forthcoming},
}
@Article{Abbring.2003,
author = {Abbring, Jaap},
title = {Dynamic Econometric Policy Evaluation},
journal = {IZA Discussion Paper},
year = {2003},
volume = {No. 804},
}
@Article{Abbring.2010,
author = {Abbring, Jaap H.},
title = {Identification of dynamic discrete choice models},
journal = {Annual Review of Economics},
year = {2010},
volume = {2},
number = {1},
pages = {367--394},
}
@Article{Abbring.2018,
author = {Abbring, Jaap H. and Daljord, \Oystein},
title = {Identifying the discount factor in dynamic discrete choice models},
journal = {arXiv preprint arXiv:1808.10651 [econ.EM]},
year = {2018},
}
@InCollection{Abbring.2007,
Title = {Econometric evaluation of social programs, part {III}: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation},
Author = {Abbring, Jaap H. and Heckman, James J.},
Booktitle = {Handbook of econometrics},
Publisher = {Elsevier Science},
Year = {2007},
Address = {Amsterdam, Netherlands},
Editor = {Heckman, James J and Leamer, Edward E},
Number = {07},
Pages = {5145--5303},
Volume = {6}
}
@Article{Abbring.2004,
author = {Abbring, Jaap H. and Van den Berg, Gerard J.},
title = {Analyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models},
journal = {Empirical Economics},
year = {2004},
volume = {29},
number = {1},
pages = {5--20},
}
@Article{Abbring.2003a,
author = {Abbring, Jaap H. and Van den Berg, Gerard J.},
title = {A Simple Procedure for the Evaluation of Treatment Effects on Duration Variables},
journal = {IZA Discussion Paper},
year = {2003},
volume = {No. 810},
}
@Article{Abbring.2003b,
author = {Abbring, Jaap H. and Van den Berg, Gerard J.},
title = {The nonparametric identification of treatment effects in duration models},
journal = {Econometrica},
year = {2003},
volume = {71},
number = {5},
pages = {1491--1517},
issn = {00129682},
abstract = {This paper analyzes the specification and identification of causal multivariate duration models. We focus on the case in which one duration concerns the point in time a treatment is initiated and we are interested in the effect of this treatment on some outcome duration. We define "no anticipation of treatment" and relate it to a common assumption in biostatistics. We show that (i) no anticipation and (ii) randomized treatment assignment can be imposed without restricting the observational data. We impose (i) but not (ii) and prove identification of models that impose some structure. We allow for dependent unobserved heterogeneity and we do not exploit exclusion restrictions on covariates. We provide results for both single-spell and multiple-spell data. The timing of events conveys useful information on the treatment effect.},
isbn = {00129682},
keywords = {Anticipation,Bivariate duration analysis,Hazard rate,Partial likelihood,Program evaluation,Selectivity bias,Unobserved heterogeneity},
}
@Article{Abdulkadiroglu.2009,
author = {Abdulkadiroglu, Atila and Angrist, Joshua D. and Dynarski, Susan M. and Kane, Thomas J. and Pathak, Parag A.},
title = {Accountability and Flexibility in Public Schools: Evidence From Boston'S Charters and Pilots},
journal = {NBER Working Paper},
year = {2009},
volume = {15549},
abstract = {We use student assignment lotteries to estimate the effect of charter school attendance on student achievement in Boston. We also evaluate a related alterna-tive, Boston's pilot schools. Pilot schools have some of the independence of charter schools but are in the Boston Public School district and are covered by some collective bargaining provisions. Lottery estimates show large and significant score gains for charter students in middle and high school. In contrast, lottery estimates for pilot school students are mostly small and insignificant, with some significant negative effects. Charter schools with binding assignment lotteries appear to generate larger gains than other charters. JEL Codes: I21, I22, I28, J24.},
}
@Article{Abdulkadiroglu.2011,
author = {Abdulkadiroglu, Atila and S\"{o}nmez, Tayfun},
title = {Matching Markets: Theory and Practice},
journal = {Unpublished Manuscript},
year = {2011},
}
@Article{Abel.1983,
author = {Abel, Andrew B.},
title = {Optimal investment under uncertainty},
journal = {American Economic Review},
year = {1983},
volume = {73},
number = {1},
pages = {228--233},
}
@Article{Abowd.1989,
author = {Abowd, John M. and Card, David},
title = {On the Covariance Structure of Earnings and Hours Changes},
journal = {Econometrica},
year = {1989},
volume = {57},
number = {2},
pages = {411--445},
}
@Article{Naga.2008,
author = {{Abul Naga}, Ramses H.},
title = {Biases of the ordinary least squares and instrumental variables estimators of the intergenerational earnings elasticity: Revisited in the light of panel data},
journal = {Journal of Economic Inequality},
year = {2008},
volume = {6},
number = {4},
pages = {323--350},
issn = {15691721},
abstract = {No abstract is available for this item.},
isbn = {1569-1721 (Print) 1573-8701 (Online)},
keywords = {Biased estimation,Intergenerational mobility,Measurement error,Panel data},
}
@Article{Acemoglu.2008,
author = {Acemoglu, Daron and Robinson, James A.},
title = {Persistence of Power, Elites, and Institutions},
journal = {American Economic Association},
year = {2008},
volume = {98},
number = {1},
pages = {267--293},
issn = {00028282},
isbn = {0002-8282},
pmid = {25246403},
}
@Misc{Achtziger.2010,
Title = {Quadratkilometer Bildung - Bildung im Quadrat},
Author = {Achtziger, Anja and Pfeiffer, Friedhelm},
Year = {2010},
Address = {Mannheim},
Publisher = {ZEW Prokect Proposal}
}
@Article{Ackerberg.2006,
author = {Ackerberg, Daniel A and Gowrisankaran, Gautam},
title = {Quantifying equilibrium network externalities in the ACH banking industry},
journal = {RAND Journal of Economics},
year = {2006},
volume = {37},
number = {3},
pages = {738--761},
issn = {07416261},
abstract = {We seek to determine the causes and magnitudes of network externalities for the automated clearing house (ACH) electronic payments system. We construct an equilibrium model of customer and bank adoption of ACH. We structurally estimate the parameters of the model using an indirect inference procedure and panel data. The parameters are identified from exogenous variation in the adoption decisions of banks based outside the network and other factors. We find that most of the impediment to ACH adoption is from large customer fixed costs of adoption. Policies to provide moderate subsidies to customers and larger subsidies to banks for ACH adoption could increase welfare significantly. Copyright {\textcopyright} 2006, RAND.},
isbn = {07416261},
}
@Book{Adam.2010,
Title = {Dimensions of Tax Design: The Mirrlees Review},
Author = {Adam, Stuart and Besley, Timothy and Blundell, Richard and Bond, Stephen and Chote, Robert and Gammie, Malcolm and Johnson, Paul and mirrlees, James and Myles, Gareth and Poterba, James},
Editor = {Oxford University Press},
Publisher = {Institute for Fiscal Studies (ifs)},
Year = {2010},
Owner = {EMP},
Timestamp = {2017.10.20}
}
@Book{Adda.2003,
Title = {Dynamic Economics: Quantitative Methods and Applications},
Author = {Adda, Jerome and Cooper, Russell},
Publisher = {MIT Press},
Year = {2003},
Address = {Cambridge, MA}
}
@Article{Adda.2007,
author = {Adda, J\'{e}r\^{o}me; and Costa Dias, M\^{o}nica and Meghir, Costas and Sianesi, Barbara},
title = {Labour Market Programmes and Labour Market Outcomes: A Study of the Swedish Active Labour Market Interventions},
journal = {Mimeo},
year = {2007},
volume = {27},
}
@Article{Adda.2013,
author = {Adda, J\'{e}r\^{o}me and Dustmann, Christian and Meghir, Costas and Robin, Jean-Marc},
title = {Career Progression, Economic Downturns, and Skills},
journal = {NBER Working Paper Series},
year = {2013},
volume = {No. 18832},
number = {1889},
abstract = {1. General Economics and Teaching - Econometric and Statistical Methods and Methodology: General - Statistical Simulation Methods: General 2. General Economics and Teaching - Single Equation Models; Single Variables - Models with Panel Data; Longitudinal Data; Spatial Time Series 3. General Economics and Teaching - Multiple or Simultaneous Equation Models; Multiple Variables - Models with Panel Data; Longitudinal Data; Spatial Time Series 4. General Economics and Teaching - Education and Research Institutions - Education and Inequality 5. General Economics and Teaching - General - Labor Economics: General 6. General Economics and Teaching - General - Labor Economics Policies 7. General Economics and Teaching - Demand and Supply of Labor - Time Allocation and Labor Supply 8. General Economics and Teaching - Demand and Supply of Labor - Human Capital; Skills; Occupational Choice; Labor Productivity 9. General Economics and Teaching - Wages, Compensation, and Labor Costs 10. General Economics and Teaching - Wages, Compensation, and Labor Costs - Wage Level and Structure; Wage Differentials 11. General Economics and Teaching - Mobility, Unemployment, and Vacancies 12. General Economics and Teaching - Mobility, Unemployment, and Vacancies - Job, Occupational, and Intergenerational Mobility},
}
@Article{Adda.2009,
author = {Adda, J\'{e}r\^{o}me and Dustmann, Christian and Meghir, Costas and Robin, Jean-Marc},
title = {Career progression and formal versus on-the-job training},
journal = {Iza},
year = {2006},
volume = {No. 2260},
number = {2260},
pages = {1--57},
abstract = {We develop a dynamic discrete choice model of training choice, employment and wage growth, allowing for job mobility, in a world where wages depend on firm-worker matches, as well as experience and tenure and jobs take time to locate. We estimate this model on a large administrative panel data set which traces labour market transitions, mobility across firms and wages from the end of statutory schooling. We use the model to evaluate the life-cycle return to apprenticeship training and find that on average the costs outweigh the benefits; however for those who choose to train the returns are positive. We then use our model to consider the long-term lifecycle effects of two reforms: One is the introduction of an Earned Income Tax Credit in Germany, and the other is a reform to Unemployment Insurance. In both reforms we find very significant impacts of the policy on training choices and on the value of realised matches, demonstrating the importance of considering such longer term implications.},
annote = {No. 2260},
keywords = {apprenticeship training,benefits,david card,dynamic discrete choice,education,eitc,eric french,guy laroque,in-work,job mobility,john pen-,labor supply,mariacristina de nardi,matching,wage determination,wage growth,wages,we thank joe altonji},
}
@Article{Adda.2015,
author = {Adda, J\'{e}r\^{o}me and Dustmann, Christian and Stevens, Katrien},
title = {The career costs of children},
journal = {Discussion Paper series, Forschungsinstitut zur Zukunft der Arbeit,},
year = {2011},
pages = {1--53},
abstract = {This paper evaluates the life-cycle career costs associated with childrearing and decomposes its effects between unearned wages as women drops out of the labor market, loss of human capital and the selection into more child friendly occupations. We develop a dynamic life-cycle model of fertility and career choice. The model allows for the endogenous timing of births and number of children, labor mar- ket participation, hours of work, wages and selection into different occupation. We structurally estimate this model combining detailed survey and administrative data for Germany. We identify the model using differential changes in regional availability of training positions over time during adolescence, which displace young girls into different occupations.},
}
@Article{Adler.2014,
author = {Adler, Carolina E. and Hirsch Hadorn, Gertrude},
title = {The IPCC and treatment of uncertainties: Topics and sources of dissensus},
journal = {Wiley Interdisciplinary Reviews: Climate Change},
year = {2014},
volume = {5},
number = {5},
pages = {663--676},
issn = {17577799},
abstract = {Characterizing uncertainty in the assessment of evidence is common practice when communicating science to users, a prominent example being the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports (ARs). The IPCC guidance note is designed to assist authors in the assessment process by assuring consistent treatment of uncertainties across working groups (WGs). However, debate on this approach has surfaced among scholars on whether applying the guidance note indeed yields the desired consistent treatment of uncertainties thus facilitating effective communication of findings to users. The IPCC guidance note is therefore a paradigmatic case for reviewing concerns regarding treatment of uncertainties for policy. We reviewed published literature that outline disagreement or dissensus on the guidance note in the IPCC assessment process, structured as three distinct topics. First, whether the procedure is reliable and leads to robust results. Second, whether the broad scope of diverse problems, epistemic approaches, and user perspectives allow for consistent and appropriate application. Third, whether the guidance note is adequate for the purpose of communicating clear and relevant information to users. Overall, we find greater emphasis placed on problems arising from the procedure and purpose of the assessment, rather than the scope of application. Since a procedure needs to be appropriate for its purpose and scope, a way forward entails not only making deliberative processes more transparent to control biases. It also entails developing differentiated instruments to account for diversity and complexity of problems, approaches, and perspectives, treating sources of uncertainty as relevant information to users.},
isbn = {1757-7799},
}
@Book{Adler.1972,
title = {How to Read a Book},
publisher = {Touchstone},
year = {1972},
author = {Adler, Mortimer J. and van Doren, Charles},
address = {New York City, NY},
}
@Article{Agee.2011,
author = {Agee, Mark D. and Atkinson, Scott E. and Crocker, Thomas D.},
title = {The Effects of Children's Time Use and Home and Neighborhood Quality on their Body Weight and Cognitive/Behavioral Development},
journal = {Unpublished Manuscript},
year = {2011},
}
@Article{Aguirregabiria.2010b,
author = {Aguirregabiria, Victor},
title = {Another look at the identification of dynamic discrete decision processes: An application to retirement behavior},
journal = {Journal of Business \& Economic Statistics},
year = {2010},
volume = {28},
number = {2},
pages = {201--218},
}
@Article{Aguirregabiria.2010,
author = {Aguirregabiria, Victor and Mira, Pedro},
title = {Dynamic Discrete Choice Structural Models: A survey},
journal = {Journal of Econometrics},
year = {2010},
volume = {156},
number = {1},
pages = {38--67},
issn = {0304-4076},
keywords = {Discrete choice,Dynamic structural models,Estimation methods,discrete choice,dynamic structural models,estimation methods},
}
@Article{Ahn.2014,
author = {Ahn, David and Choi, Syngjoo and Gale, Douglas and Kariv, Shachar},
title = {Estimating Ambiguity Aversion in a Portfolio Choice Experiment},
journal = {Quantitative Economics},
year = {2010},
volume = {5},
number = {2},
pages = {195--223},
}
@Article{Ahn.1993,
author = {Ahn, Hyungtaik and Powell, James},
title = {Semiparametric Estimation of Censored Selection Models with a Nonparametric Selection Mechanism},
journal = {Journal of Econometrics},
year = {1993},
volume = {58},
number = {1-2},
pages = {3--29},
}
@InCollection{Ahuja.1995,
Title = {Applications of Network Optimization},
Author = {Ahuja, Ravindra K. and Magnanti, Thomas L. and Orlin, James B. and Reddy, M. V. Ramana},
Booktitle = {Network Models},
Publisher = {North-Holland Publishing Company},
Year = {1995},
Address = {Amsterdam, Netherlands},
Editor = {Ball, M O and Magnanti, C L and Monma, C L and Neuhauser, G L},
Pages = {1--83},
Volume = {7}
}
@Article{Aitchison.1957,
author = {Aitchison, James and Silvey, Samuel D.},
title = {The Generalization of Probit Analysis to the Case of Multiple Responses},
journal = {Biometrika},
year = {1957},
volume = {44},
number = {1},
pages = {131--140},
}
@Article{Aiyagarai.2002,
author = {Aiyagarai, Rao S. and Greenwood, Jeremy and Seshadri, Ananth},
title = {Efficient Investment in Children},
journal = {Jounal of Eonomic Theory},
year = {2002},
volume = {101},
pages = {290--321},
}
@Article{Aizer.2016,
author = {Aizer, Anna and Eli, Shari and Ferrie, Joseph and Lleras-Muney, Adriana},
title = {The long-run impact of cash transfers to poor families},
journal = {American Economic Review},
year = {2016},
volume = {106},
number = {4},
pages = {935--971},
}
@Article{Akabayashi.2006,
author = {Akabayashi, Hideo},
title = {An Equilibrium Model of Child Maltreatment},
journal = {Journal of Economic Dynamics and Control},
year = {2006},
volume = {30},
number = {6},
pages = {993--1025},
}
@Article{Akerlof.1970,
author = {Akerlof, George A.},
title = {The market for "lemons'': Quality uncertainty and the market mechanism},
journal = {Quarterly Journal of Economics},
year = {1970},
volume = {84},
number = {3},
pages = {488--500},
}
@Article{Albert.1993,
author = {Albert, James and Chib, Siddhartha},
title = {Bayesian Analysis of Binary and Polychotomous Response Data},
journal = {Journal of the American Statistical Association},
year = {1993},
volume = {88},
number = {422},
pages = {669--679},
issn = {0162-1459},
abstract = {A vast literature in statistics, biometrics, and econometrics is concerned with the analysis of binary and polychotomous response data. The classical approach fits a categorical response regression model using maximum likelihood, and inferences about the model are based on the associated asymptotic theory. The accuracy of classical confidence statements is questionable for small sample sizes. In this article, exact Bayesian methods for modeling categorical response data are developed using the idea of data augmentation. The general approach can be summarized as follows. The probit regression model for binary outcomes is seen to have an underlying normal regression structure on latent continuous data. Values of the latent data can be simulated from suitable truncated normal distributions. If the latent data are known, then the posterior distribution of the parameters can be computed using standard results for normal linear models. Draws from this posterior are used to sample new latent data, and the process is iterated with Gibbs sampling. This data augmentation approach provides a general framework for analyzing binary regression models. It leads to the same simplification achieved earlier for censored regression models. Under the proposed framework, the class of probit regression models can be enlarged by using mixtures of normal distributions to model the latent data. In this normal mixture class, one can investigate the sensitivity of the parameter estimates to the choice of "link function," which relates the linear regression estimate to the fitted probabilities. In addition, this approach allows one to easily fit Bayesian hierarchical models. One specific model considered here reflects the belief that the vector of regression coefficients lies on a smaller dimension linear subspace. The methods can also be generalized to multinomial response models with {\$}J {\textgreater} 2{\$} categories. In the ordered multinomial model, the J categories are ordered and a model is written linking the cumulative response probabilities with the linear regression structure. In the unordered multinomial model, the latent variables have a multivariate normal distribution with unknown variance-covariance matrix. For both multinomial models, the data augmentation method combined with Gibbs sampling is outlined. This approach is especially attractive for the multivariate probit model, where calculating the likelihood can be difficult.},
isbn = {0162-1459},
keywords = {bayesian{\_}analysis,response{\_}data},
}
@Manual{Albright.1977,
Title = {Report on the Development of an Estimation Program for the Multinomial Probit Model},
Author = {Albright, R S and Lerman, S and Manski, Charles F.},
Organization = {Cambridge Systematics},
Year = {1977}
}
@Article{Aldashev.2009,
author = {Aldashev, Alisher and Gernandt, Johannes and Thomsen, Stephan L.},
title = {Language usage, participation, employment and earnings. Evidence for foreigners in West Germany with multiple sources of selection},
journal = {Labour Economics},
year = {2009},
volume = {16},
number = {3},
pages = {330--341},
issn = {09275371},
abstract = {Language proficiency may not only affect the earnings of the individual, but the probability to participate in the labor market or becoming employed as well. It may also affect selection of people into economic sector and occupation. In this paper, the effects of language proficiency on earnings are analyzed for foreigners in Germany with joint consideration of up to four types of selection. The results show that language proficiency significantly increases participation and employment probability and affects occupational choice. When selection into economic sector and occupation is regarded, we do not find an impact of language ability on earnings thereby implying an indirect effect. ?? 2008 Elsevier B.V. All rights reserved.},
keywords = {Employment,Foreigners,Language ability,Multiple selection,Participation},
}
@Article{Alexander.1997,
author = {Alexander, Karl L. and Entwisle, Doris R. and Horsey, Carrie S.},
title = {From First Grade Forward: Early Foundations of High School Dropout},
journal = {Source: Sociology of Education},
year = {1997},
volume = {70},
number = {2},
pages = {87--107},
month = {apr},
issn = {00380407},
isbn = {00380407},
pmid = {17806662},
}
@Article{Algebra.2003,
author = {Algebra, Linear},
title = {Contents of the handbook},
journal = {Handbook of Environmental Economics},
year = {2003},
volume = {1},
pages = {vii----viii},
issn = {15740099},
}
@InCollection{Almlund.2011,
author = {Almlund, Mathilde and Lee Duckworth, Angela and Heckman, James and Kautz, Tim},
booktitle = {Handbook of The Economics of Education},
title = {Chapter 1 - Personality Psychology and Economics1},
editor = {Eric A. Hanushek, Stephen Machin and Ludger Woessmann},
pages = {1 - 181},
publisher = {Elsevier},
series = {Handbook of the Economics of Education},
volume = {4},
abstract = {Abstract This chapter explores the power of personality traits both as predictors and as causes of academic and economic success, health, and criminal activity. Measured personality is interpreted as a construct derived from an economic model of preferences, constraints, and information. Evidence is reviewed about the “situational specificityâ€? of personality traits and preferences. An extreme version of the situationist view claims that there are no stable personality traits or preference parameters that persons carry across different situations. Those who hold this view claim that personality psychology has little relevance for economics. The biological and evolutionary origins of personality traits are explored. Personality measurement systems and relationships among the measures used by psychologists are examined. The predictive power of personality measures is compared with the predictive power of measures of cognition captured by \{IQ\} and achievement tests. For many outcomes, personality measures are just as predictive as cognitive measures, even after controlling for family background and cognition. Moreover, standard measures of cognition are heavily influenced by personality traits and incentives. Measured personality traits are positively correlated over the life cycle. However, they are not fixed and can be altered by experience and investment. Intervention studies, along with studies in biology and neuroscience, establish a causal basis for the observed effect of personality traits on economic and social outcomes. Personality traits are more malleable over the life cycle compared with cognition, which becomes highly rank stable around age 10. Interventions that change personality are promising avenues for addressing poverty and disadvantage.},
issn = {1574-0692},
keywords = {Personality, Behavioral Economics, Cognitive Traits, Wages, Economic Success, Human Development, Person-situation Debate},
year = {2011},
}
@Article{Almond2005,
author = {Almond, Douglas and Chay, Kenneth Y. and Lee, David S.},
title = {The Costs of Low Birth Weight*},
journal = {Quarterly Journal of Economics},
year = {2005},
volume = {120},
number = {3},
pages = {1031--1083},
month = {aug},
issn = {0033-5533},
}
@Article{Al-Najjar.2009,
author = {Al-Najjar, Nabil I. and Weinstein, Jonathan},
title = {The ambiguity aversion literature: A critical assessment},
journal = {Economics and Philosophy},
year = {2009},
volume = {25},
number = {3},
pages = {249-284},
owner = {peisenha},
timestamp = {2018.02.03},
}
@Article{Al-Najjar.2009a,
author = {Al-Najjar, Nabil I. and Weinstein, Jonathan},
title = {Rejoinder: ``{T}he ambiguity aversion literature: {A} critical assessment''},
journal = {Economics and Philosophy},
year = {2009},
volume = {25},
number = {3},
pages = {357-369},
owner = {peisenha},
timestamp = {2018.02.03},
}
@Article{Altonji.1993,
author = {Altonji, Joe},
title = {The Demand for and Return to Education when education outcomes are uncertain},
journal = {Journal of Labor Economics},
year = {1993},
volume = {11},
pages = {48-83},
owner = {peisenha},
timestamp = {2017.02.15},
}
@Article{Amemiya.1984,
author = {Amemiya, Takeshi},
title = {Tobit models: {A} survey},
journal = {Journal of Econometrics},
year = {1984},
volume = {24},
number = {81},
pages = {3-61},
owner = {peisenha},
timestamp = {2018.04.28},
}
@Article{Amman.1996,
author = {Amman, Hans and Kendrick, David A. and Rust, John},
title = {Preface to the handbook},
journal = {Handbook of {C}omputational {E}conomics},
year = {1996},
volume = {1},
pages = {vii----x},
issn = {15740021},
}
@Article{Anand.2008,
author = {Anand, Sudhir and Segal, Paul},
title = {What Do We Know about Global Income Inequality?},
journal = {Journal of Economic Literature},
year = {2008},
volume = {46},
number = {1},
pages = {57--94},
}
@Article{Anand.2008a,
author = {Anand, Sudhir and Segal, Paul},
title = {What Do We Know about Global Income Inequality?},
journal = {Journal of Economic Literature},
year = {2008},
volume = {46},
number = {1},
pages = {57--94},
}
@Article{Andersen.2011,
author = {Andersen, Steffen and Harrison, Glenn W. and Lau, Morten I. and Rutstr{\"o}m, E. Elisabet},
title = {{Multiattribute utility theory, intertemporal utility and correlation aversion}},
journal = {Center for the Economic {\ldots}},
year = {2011},
number = {2011-04},
issn = {01687034},
abstract = {Convenient assumptions about qualitative properties of the intertemporal utility function have generated counter-intuitive implications for the relationship between atemporal risk aversion and the intertemporal elasticity of substitution. If the intertemporal utility function is additively separable then the latter two concepts are the inverse of each other. We review a simple theoretical specification with a long lineage in the literature on multi-attribute utility, and demonstrate the critical role of a concept known as intertemporal risk aversion or intertemporal correlation aversion. This concept is the intertemporal analogue of a more general concept applied to two attributes of utility, but where the attributes just happen to be the time-dating of the good. In the context of intertemporal utility functions, the concept provides an intuitive explanation of possible differences between (the inverse of) atemporal risk aversion and the intertemporal elasticity of substitution. We use this theoretical structure to guide the design of a series of experiments that allow us to identify and estimate intertemporal correlation aversion. Our results show that subjects are correlation averse over lotteries with intertemporal income profiles, and that the convenient additive specification of the intertemporal utility function is not an appropriate representation of preferences over time.},
isbn = {0168-7034 1573-0700},
pmid = {36844563},
}
@Article{Andersen.2018,
author = {Andersen, Steffen and Harrison, Glenn W. and Lau, Morten I. and Rutstr\"{o}m, E. Elisabet},
title = {Multiattribute utility theory, intertemporal utility and correlation aversion},
journal = {International Economic Review},
year = {2018},
volume = {forthcoming},
}
@Article{Andersen.2008,
author = {Andersen, Steffen and Harrison, Glenn W. and Lau, Morten I. and Rutstr\"{o}m, E. Elisabet},
title = {Eliciting risk and time preferences},
journal = {Econometrica},
year = {2008},
volume = {76},
number = {3},
pages = {583--618},
}
@Article{Andersen.1999,
author = {Andersen, Torben G. and Chung, Hyung-jin and Sorensen, Bent E.},
title = {Efficient method of moments estimation of a stochastic volatility model : A Monte Carlo study},
journal = {Journal of Econometrics},
year = {1999},
volume = {91},
number = {1},
pages = {61--87},
keywords = {emm,gmm,monte carlo,stochastic volatility},
}
@Book{LAPACK,
author = {Anderson, Edward and Bai, Zhaojun and Bischof, Christian and Blackford, Susan and Dongarra, Jack and {Du Croz}, Jeremy and Greenbaum, Anne and Hammarling, Sven and McKenney, A and Sorensen, D},
title = {LAPACK Users' guide -- Symmetric Eigenvalue Reduction},
year = {1999},
volume = {9},
publisher = {SIAM},
isbn = {0-89871-447-8 (paperback)},
address = {Philadelphia, PA},
}
@InCollection{Anderson.1951,
Title = {The asymptotic distribution of certain characteristic roots and vectors},
Author = {Anderson, Theodore W.},
Booktitle = {Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability},
Publisher = {University of California Press},
Year = {1951},
Address = {Berkeley, CA},
Pages = {103--130}
}
@InCollection{Andradottir.1998,
Title = {Simulation optimization},
Author = {Andrad{\'{o}}ttir, Sigr{\'{u}}n},
Booktitle = {Handbook of Simulation},
Publisher = {John Wiley \& Sons, New York},
Year = {1998},
Chapter = {9},
Editor = {Banks, Jerry},
Pages = {307--334}
}
@Article{Andrews.1998,
author = {Andrews, Donald W. K. and Schafgans, Marcia M. A.},
title = {Semiparametric estimation of the intercept of a sample selection model},
journal = {Review of Economic Studies},
year = {1998},
volume = {65},
number = {3},
pages = {497--517},
}
@Article{Anger.2009,
author = {Anger, Silke and Frick, Joachim R. and Goebel, Jan and Grabka, Markus M. and Groh-Samberg, Olaf and Haas, Hansjoerg and Holst, Elke and Krause, Peter and Kroh, Martin and Lohmann, Henning and Schupp, Juergen and Sieber, Ingo and Siedler, Thomas and Schmitt, Christian C. and Spiess, Katharina and Tucci, Ingrid and Wagner, Gert G.},
title = {Developing SOEPsurvey and SOEPservice: The (Near) Future of the German Socio-Economic Panel Study (SOEP)},
journal = {SOEPpapers},
year = {2009},
pages = {No. 155},
abstract = {Das Sozio-oekonomische Panel (SOEP) ist als multidisziplin\"{a}res Haushaltspanel, das Informationen zu allen Personen, die in einem Panel-Haushalt leben, erhebt und damit alle Altersjahrg\"{a}nge abdeckt, nach 25 Jahren Laufzeit auch zu einer Kohorten- Studie geworden. Der zunehmende Erfolg der Forschungsinfrastruktur-Einrichtung SOEP speist sich in erster Linie daraus, dass die Analysekraft von L\"{a}ngsschnittstudien mit jedem weiteren Erhebungsjahr zunimmt. Hinzu kommen im Falle des SOEP seit Beginn an eine lange Reihe von Innovationen bei der Erhebung, Datenaufbereitung und Nutzer-Service. Deswegen gilt es zu \"{u}berlegen, wie die wissenschaftliche Power des SOEP weiter gest\"{a}rkt werden kann. Nicht zuletzt auch, da es f\"{u}r neue, spezialisierte Panel-Studien (wie das Nationale Bildungspanel oder das DFG-gef\"{o}rderte Familienpanel PAIRFAM) eine Referenz und ggf. Verankerung der Hochrechnung darstellt. Zudem kann das SOEP k\"{u}nftig eine gr\"{o}{\ss}ere Rolle als „Kontroll-Stichprobe“ f\"{u}r Interventions-Studien spielen; etwa im Bereich der Kindheitsentwicklung. Auf diese neuen Rollen muss es vorbereitet sein. Die im SOEP in den letzten Jahren realisierten Erhebungsinnovationen wie z. B. die Inkorporation psychologischer Konzepte, physische Gesundheitsmessungen (Greifkraft), die Messung kognitiver F\"{a}higkeiten und die Erprobung von Verhaltens- Experimenten werden in anderen Panel-Studien aufgegriffen und auf eine gr\"{o}{\ss}ere Stichprobenbasis gestellt. Im UK wird mit „Understanding Society“ ein Haushaltspanel mit 40.000 Haushalten begonnen; in den Niederlanden wird mit MESS ein Haushaltspanel von \"{u}ber 5.000 Haushalten f\"{u}r innovative Messmethoden zur Verf\"{u}gung gestellt. Die Erhebungsinhalte des SOEP werden von den Forschungs- und Politikberatungs-Communities unver\"{a}ndert stark nachgefragt. In UK hat ein f\"{u}r „Understanding Society“ breit angelegter Konsultationsprozess keine grunds\"{a}tzlich neuen Befragungsinhalte zu Tage gef\"{o}rdert, die das SOEP nicht bereits enth\"{a}lt oder die f\"{u}r das SOEP ohnehin im Gespr\"{a}ch sind. Wichtiger als die „Entdeckung“ v\"{o}llig neuer Erhebungsinhalte ist das thematische wie zeitliche „Zuschneiden“ der Details von Befragungsinhalten auf (zugespitzte) neue (theoretische) Fragestellungen und dabei gleichzeitig bew\"{a}hrte sowie viel genutzte zentrale Befragungsinhalte und deren Befragungsrhythmen beizubehalten. Das „Ma{\ss}schneidern“ von Erhebungsinhalten wird in den n\"{a}chsten Jahren die eigentliche Herausforderung f\"{u}r Infrastruktur- Erhebungen wie die PSID, „Understanding Society“ und das SOEP sein. Bei den Erhebungsinhalten sollten die „R\"{a}nder“ des Lebenslaufs eine gr\"{o}{\ss}ere Rolle spielen, da diese von Haushalts-Panels besonders gut erfasst werden k\"{o}nnen. Diese Verbesserungen der Erhebungen beziehen sich einerseits auf die f\"{o}tale Phase von in das SOEP hineingeborenen Kindern und die (fr\"{u}he) Kindheit, andererseits auf die letzte Lebensphase und das Sterben. In der Mitte des Lebenslaufs werden verbesserte Fragen zum Einkommen, Sparen und Verm\"{o}gen sowie auch psychologische Konstrukte eine zentrale Rolle spielen, au{\ss}erdem gezielte Fragen (event triggered questionnaires) in Verbindung mit zentralen Lebensereignissen wie z. B. Eheschlie{\ss}ung, Scheidung, Eintritt in und Austritt aus Arbeitslosigkeit. Es wird die Etablierung einer SOEP-“Innovations-Stichprobe“ vorbereitet, um theoriegeleitete Forschungsfragen gezielter unterst\"{u}tzen zu k\"{o}nnen. Dazu wird es auch notwendig sein, neue Messkonzepte zu erproben (z. B. die Erhebung von Biomarkern, qualitative Erhebungen, aber auch Experimente und gezielte Interventionsstudien). Um die Power von L\"{a}ngsschnittdaten von Anfang an f\"{u}r die Innovations-Stichprobe ausnutzen zu k\"{o}nnen, ist geplant, zwei kleinere Teilstichproben des SOEP, die seit 1998 bzw. 2006 laufen (Subsamples E und H), in die Innovationsstichprobe zu \"{u}berf\"{u}hren. Um die statistische Power langlaufender L\"{a}ngsschnittdaten entscheidend zu verbessern, sch\"{a}tzen wir eine Mindestfallzahl von etwa 500 Personen pro Geburtsund Alterskohorte f\"{u}r ausreichend ein. Um dieses Ziel zu erreichen, muss die Fallzahl des SOEP-Standard-Samples erh\"{o}ht werden. Als „Nebeneffekt“ werden dadurch wesentlich bessere Analysen f\"{u}r relativ kleine Gruppen in der Bev\"{o}lkerung m\"{o}glich; etwa f\"{u}r allein Erziehende oder bestimme Immigrantengruppen. Au{\ss}erdem verbessern sich als weiterer „Nebeneffekt“ auch regionale Analysem\"{o}glichkeiten, z. B. f\"{u}r die meisten Bundesl\"{a}nder und in gro{\ss}en Bundesl\"{a}ndern bis hin zu Regierungsbezirken (oder \"{a}hnlich abgegrenzten regionalen Einheiten). In letzter Zeit wird immer deutlicher, welche gro{\ss}e Bedeutung das SOEP als „Referenz-Datensatz“ f\"{u}r spezialisierte und vom SOEP v\"{o}llig unabh\"{a}ngige Erhebungen hat (neben Beobachtungsstudien, wie etwa Zwillings-Studien, auch Labor- und Interventions-Studien). Zur Unterst\"{u}tzung dieser Funktion ist eine neue Art von Service, der in Deutschland bislang nicht vorgehalten wird, notwendig (Beratung von Spezial-Erhebungen; ggf. Datenaufbereitung von l\"{a}ngsschnittlichen Spezial-Erhebungen), der auch in ein Datenservicezentrum eingebracht werden k\"{o}nnte. After 25 years as a multidisciplinary household panel containing information on all individuals residing in panel households and thus covering all age cohorts, the German Socio-Economic Panel (SOEP) has become a true cohort study as well. The increasing success of the SOEP research infrastructure comes above all from the increasing analytical power that longitudinal studies attain with each successive survey year. In the case of SOEP, a long series of innovations in surveying, data preparation, and user service have also played a major role. For this reason, it is important to consider how the scientific capacity of SOEP can be further enhanced— not least of all since the SOEP can form a key point of reference (or “anchorâ€Â?) for new, specialized panel studies (such as the National Educational Panel and the family panel PAIRFAM, funded by the German Research Foundation). Furthermore SOEP can become a kind of “control sampleâ€Â? for intervention studies, for example, in the field of child development. The SOEP survey and its governance structures must be prepared for these new tasks. The numerous innovations introduced into SOEP in recent years—questions dealing with psychological concepts, physical health measures (grip strength), measures of cognitive capabilities, and behavioral experiments—have been incorporated into other panel studies as well, and thus provided with a larger sample base. In the UK, the “Understanding Society“ household panel study was launched with 40,000 households; in the Netherlands, the MESS household panel study of over 5,000 households offered a new basis for testing innovative measurement methods. The results of the SOEP survey are in continuing high demand in the research and policy advisory community. From our point of view, the large-scale consultation process conducted to define the content of the UK survey “Understanding Society“ failed to identify any fundamentally new survey content that the SOEP either did not already contain or that was not already being discussed for the SOEP. More important than “discoveringâ€Â? entirely new survey areas is “tailoringâ€Â? the details of existing survey content to address new, more specific (theoretical) questions, and thus maintaining proven and widely used elements of survey content. The “tailoringâ€Â? of survey content will be the real challenge facing infrastructure surveys like PSID, “Understanding Society,â€Â? and the SOEP in the coming years. In the future, the “marginsâ€Â? of the life course should play a stronger role in survey content, since household panels are able to provide outstanding data of these life phases. The SOEP, and other household panel surveys, can be improved, on the one hand, by including the fetal phase of life and early childhood for children born into the panel, and on the other, by including late life and death. In the middle of the life course, improved questions on income, savings, and wealth as well as psychological constructs will play a central role, as will specific questions (in “eventtriggeredâ€Â? questionnaires) on central life occurrences such as marriage, divorce, and entry into and exit from unemployment. Current plans for SOEP foresee the addition of an “Innovation Sampleâ€Â? that will make it possible to better address theory-based research questions required for testing new measurement concepts (e.g., the surveying of biomarkers, qualitative surveys, but also experiments and targeted intervention studies). In order to exploit the power of longitudinal data from the outset, we plan to incorporate two smaller SOEP subsamples that have been running since 1998 and 2006 (Subsamples E and H, respectively) into the Innovation Sample. In order to decisively improve the statistical power of long-term longitudinal data, we believe that a minimum case number of about 500 persons per birth and age cohort is required. In order to reach this goal, the case number in the SOEP standard samples needs to be increased. A positive side-effect of this enlargement would be a significantly improved potential for analyses of relatively small groups within the population: for example, lone parents or specific immigrant groups. Another positive side-effect would be an improved potential for regional analyses: for example, for the majority of federal states. In recent times, the importance of SOEP as a “reference datasetâ€Â? for specialized surveys which are independent from SOEP (observational studies such as twin studies, and laboratory and intervention studies) has become strikingly evident. To enhance this important function, new types of service are needed (advice on special surveys, possibly also data preparation for special surveys), which could become part of a Data Service Center.},
isbn = {155},
keywords = {German Socio-Economic Panel Study,Household Panels,SOEP},
}
@Article{Anger.2006,
author = {Anger, Silke and Heineck, Guido},
title = {Cognitive abilities and labour market outcomes - First evidence for Germany.},
journal = {ZUMA Nachrichten},
year = {2006},
volume = {655},
abstract = {We contribute to the literature on the relationship between cognitive abilities and labour market outcomes providing first evidence for Germany. In particular, cross-sectional data from the German Socio-Economic Panel (SOEP) are used, which include two measures of cognitive ability, one test of fluid mechanics (speed test) and another test of crystallised pragmatics (word fluency test). We find a positive relationship between cognitive abilities and economic activity, as workers with high ability test scores are less likely to be unemployed. In addition, results from Mincer-type OLS and 2SLS regressions suggest that mechanics abilities are correlated with wages in a significantly positive way for West German workers, even when educational attainment is controlled for, whereas pragmatics of cognition do not affect earnings significantly. However, we also find that ability and education are inseparable determinants of earnings, which confirms findings of recent studies for other countries.},
isbn = {655},
keywords = {Germany,Socio-Economic Panel (SOEP),cognitive ability,cross-sectional data,earnings,labour market outcomes,relationship,wages},
}
@Article{Anger.2010,
author = {Anger, Silke and Kvasnicka, Michael and Siedler, Thomas},
title = {One last puff? {P}ublic smoking bans and smoking behavior},
journal = {Journal of Health Economics},
year = {2011},
volume = {30},
number = {3},
pages = {591--601},
issn = {01676296},
abstract = {This paper investigates the short-term effects of public smoking bans on individual smoking behavior. In 2007 and 2008, state-level smoking bans were gradually introduced in all of Germany's federal states. We exploit this variation to identify the effect that smoke-free policies had on individuals' smoking propensity and smoking intensity. Using rich longitudinal data from the German Socio-Economic Panel Study, our difference-in-differences estimates show that the introduction of smoke-free legislation in Germany did not change average smoking behavior within the population. However, our estimates point to important heterogeneous effects. Individuals who go out more often to bars and restaurants did adjust their smoking behavior. Following the ban, they became less likely to smoke and also smoked less. ?? 2011 Elsevier B.V.},
isbn = {9783867882026},
keywords = {C33,Cigarette consumption,I12,I18,K32,Public smoking bans,Smoking,Treatment effects},
pmid = {21570731},
}
@Article{Angrist.2004,
author = {Angrist, Joshua D.},
title = {Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants},
journal = {Econometrica},
year = {2004},
volume = {66},
number = {2},
pages = {249--288},
}
@Article{Angrist.2001,
author = {Angrist, Joshua D.},
title = {Estimation of Limited Dependent Variable Models With Dummy Endogenous Regressors},
journal = {Journal of Business \& Economic Statistics},
year = {2001},
volume = {19},
number = {1},
pages = {2--28},
issn = {0735-0015},
abstract = {Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and nonnegative outcomes. I argue here that much of the difculty with limited dependent variables comes from a focus on structural parameters, such as index coefcients, instead of causal effects. Once the object of estimation is taken to be the causal effect of treatment, several simple strategies are available. These include conventional two-stage least squares, multiplicative models for conditional means, linear approximation of nonlinear causal models, models for distribution effects, and quantile regression with an endogenous binary regressor. The estimation strategies discussed in the article are illustrated by using multiple births to estimate the effect of childbearing on employment status and hours of work.},
isbn = {0735-0015},
keywords = {Instrumental variables,Labor supply,Sample selection,Semiparametric methods,Tobit},
}
@Article{Angrist.1990,
author = {Angrist, Joshua D.},
title = {Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Records},
journal = {American Economic Review},
year = {1990},
volume = {80},
number = {3},
pages = {313--336},
issn = {00028282},
abstract = {The randomly assigned risk of induction generated by the draft lottery is used to construct estimates of the effect of veteran status on civilian earnings. These estimates are not biased by the fact that certain types of men are more likely than others to service in the military. Social Security administrative records indicate that in the early 1980s, long after their service in Vietnam was ended, the earnings of white veterans were approximately 15 percent less than the earnings of comparable nonveterans.},
isbn = {0002-8282},
}
@Article{Angrist1996,
author = {Angrist, Joshua D. and Imbens, Guido W. and Rubin, Donald B.},
title = {Identification of causal effects using instrumental variables},
journal = {Journal of the American Statistical Association},
year = {1996},
volume = {91},
number = {434},
pages = {444--455},
issn = {0162-1459},
keywords = {compliers},
}
@Article{Angrist.1991,
author = {Angrist, Joshua D. and Krueger, Alan B.},
title = {Does Compulsory School Attendance Affect Schooling and Earnings?},
journal = {The Quarterly Journal of Economics},
year = {1991},
volume = {106},
number = {4},
pages = {979-1014},
owner = {peisenha},
timestamp = {2017.03.11},
}
@Misc{Angrist.2008,
Title = {Mostly harmless econometrics: An empiricist's companion},
Author = {Angrist, Joshua D. and Pischke, J\"{o}rn-Steffen},
Year = {2008},
Address = {Princeton, NJ, USA},
Publisher = {Princeton University Press}
}
@Article{Angrist.2010,
author = {Angrist, Joshua D. and Pischke, J\"{o}rn-Steffen},
title = {The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics},
journal = {Journal of Economic Perspectives},
year = {2010},
volume = {24},
number = {2},
pages = {3--30},
issn = {0895-3309},
abstract = {Since Edward Leamer's memorable 1983 paper, "Let's Take the Con out of Econometrics," empirical microeconomics has experienced a credibility revolution. While Leamer's suggested remedy, sensitivity analysis, has played a role in this, we argue that the primary engine driving improvement has been a focus on the quality of empirical research designs. The advantages of a good research design are perhaps most easily apparent in research using random assignment. We begin with an overview of Leamer's 1983 critique and his proposed remedies. We then turn to the key factors we see contributing to improved empirical work, including the availability of more and better data, along with advances in theoretical econometric understanding, but especially the fact that research design has moved front and center in much of empirical micro. We offer a brief digression into macroeconomics and industrial organization, where progress -- by our lights -- is less dramatic, although there is work in both fields that we find encouraging. Finally, we discuss the view that the design pendulum has swung too far. Critics of design-driven studies argue that in pursuit of clean and credible research designs, researchers seek good answers instead of good questions. We briefly respond to this concern, which worries us little.},
isbn = {0895-3309},
keywords = {HB Economic Theory},
}
@Article{Anscombe.1963,
author = {Anscombe, Francis J. and Aumann, Robert J.},
title = {A Definition of Subjective Probability},
journal = {The Annals of Mathematical Statistics},
year = {1963},
volume = {34},
number = {1},
pages = {199--205},
}
@Article{Apesteguia.2016,
author = {Apesteguia, Jose and Ballester, Miguel A.},
title = {Stochastic representatitve agent},
journal = {Working Paper},
year = {2016},
}
@Article{Araujo.2012,
author = {Araujo, Aloiso and Kubler, Felix and Schommer, Susan},
title = {Regulating Collateral-requirements when Markets are Incomplete},
journal = {Journal of Economic Theory},
year = {2012},
volume = {147},
number = {2},
pages = {450--476},
}
@Book{Arbuckle.2010,
Title = {Python Testing: Beginner's Guide},
Author = {Arbuckle, Daniel},
Publisher = {Packt Publishing},
Year = {2010},
Abstract = {The book begins with the very foundations of automated testing, and expands on them until the best-practice tools and techniques are fully covered. New concepts are illustrated with step-by-step hands-on exercises. Testing will be easier and more enjoyable with this beginner's guide. If you are a Python developer and want to write tests for your applications, this book will get you started and show you the easiest way to learn testing. You need to have sound Python programming knowledge to follow along. An awareness of software testing would be good, but no formal knowledge of testing is expected nor do you need to have any knowledge of the libraries discussed in the book. About the Author Daniel Arbuckle Daniel Arbuckle holds a Ph.D. in Computer Science from the University of Southern California. While at USC, he performed original research in the Interaction Lab (part of the Center for Robotics and Embedded Systems) and the Laboratory for Molecular Robotics (now part of the Nanotechnology Research Laboratory). His work has been published in peer-reviewed journals and in the proceedings of international conferences.},
Booktitle = {Cs{\_}Python},
ISBN = {978-1-847198-84-6}
}
@Article{Arcidiacono.2004,
author = {Arcidiacono, Peter},
title = {Ability sorting and the returns to college major},
journal = {Journal of Econometrics},
year = {2004},
volume = {121},
number = {1},
pages = {343--375},
owner = {peisenha},
timestamp = {2017.02.20},
}
@Article{Arcidiacono.2011,
author = {Arcidiacono, Peter and Ellickson, Paul B.},
title = {Practical Methods for Estimation of Dynamic Discrete Choice Models},
journal = {Annual Review of Economics},
year = {2011},
volume = {3},
number = {1},
pages = {363--394},
issn = {1941-1383},
abstract = {Many discrete decisions are made with an eye toward how they will affect future outcomes. Formulating and estimating the underlying models that generate these decisions is difficult. Conditional choice probability (CCP) estimators often provide simpler ways to estimate dynamic discrete choice problems. Recent work shows how to frame dynamic discrete choice problems in a way that is conducive to CCP estimation and demonstrates that CCP estimators can be adapted to handle rich patterns of unobserved state variables.},
isbn = {1941-1383},
}
@Article{Arcidiacono.2011b,
author = {Arcidiacono, Peter and Miller, Robert A.},
title = {Conditional choice probability estimation of dynamic discrete choice models with unobserved heterogeneity},
journal = {Econometrica},
year = {2011},
volume = {79},
number = {6},
pages = {1823--1867},
}
@Article{Arellano.2012,
author = {Arellano, Manuel and Hansen, Lars P. and Sentana, Enrique},
title = {Underidentification?},
journal = {Journal of Econometrics},
year = {2012},
volume = {??},
number = {??},
pages = {??},
}
@Article{Armstrong.2003,
author = {Armstrong, Margaret},
title = {Copula Catalogue, Part 1: Bivariate Archimedian Copulas},
journal = {Working Paper},
year = {2003},
}
@Article{Arneson.1989,
author = {Arneson, Richard J.},
title = {Equality and Equality of Opportunity for Welfare},
journal = {Philosophical Studies},
year = {1989},
volume = {56},
number = {1},
pages = {77--93},
issn = {0963-8016},
keywords = {equality of opportunity,luck egalitarianism,ottenuto},
}
@Article{Arntz.2008,
author = {Arntz, Melanie and Thomsen, Stephan L.},
title = {Reforming Home Care Provision in Germany - Evidence from a Social Experiment},
journal = {ZEW Discussion Paper},
year = {2008},
}
@Article{Arntz.2008b,
author = {Arntz, Melanie and Thomsen, Stephan L.},
title = {Crowding Out Informal Care? {E}vidence from a Social Experiment in Germany},
journal = {ZEW Discussion Paper},
year = {2008},
}
@Article{Arrow.1973,
author = {Arrow, Kenneth J.},
title = {Higher Education as a Filter},
journal = {Journal of Public Economics},
year = {1973},
volume = {2},
pages = {193-216},
owner = {peisenha},
timestamp = {2017.02.20},
}
@Article{Arrow.1951,
author = {Arrow, Kenneth J.},
title = {Alternative Approaches to the Theory of Choice in Risk-Taking Situations},
journal = {Econometrica},
year = {1951},
volume = {19},
number = {4},
pages = {404--437},
issn = {1098-6596},
abstract = {This paper seeks to survey the literature in economics, philosophy, mathematics, and statistics on the subject of choice among alternatives the consequences of which are not certain. Attention is centered on the suggested modes of describing uncertainty and on the theories of rational and actual behavior of individuals in making choices},
isbn = {9788578110796},
keywords = {icle},
pmid = {25246403},
}
@Article{Arthur.2013,